Abstract The rock fragmentation and crack propagation of anisotropic induced by tunnel boring machine (TBM) tunneling is studied in this paper. First, a numerical model based on the 2D particle flow code (PFC2D) established calibrated to reveal four stages fragmentation. In Stage I (indentation depth 0–0.4 mm), indentation force beneath cutterhead increases decreases dramatically with accumulat...

During tunneling processes, disc cutters of a tunnel boring machine (TBM) usually need to be frequently and unexpectedly replaced. Regular inspections are needed check cutters’ status, which significantly reduces the work efficiency increases cost. This paper proposes new prediction model based on TBM operational parameters geological conditions that determines whether cutter replacement is nee...

ground settlement is often the most serious concern when tunneling under an old city with numerous historic monuments. a successful engineering design under these conditions would require getting the most out of the ground strength parameters and avoiding any weakening maneuver throughout the operation. knowing that surface settlement is highly affected by tunneling parameters in epb shield tun...

Tunnel construction method using a tunnel boring machine (TBM) is commonly adopted for building underground infrastructure, such as railways, roads, sewers, or utility pipelines. TBM tunnelling entails precise guidance of the machine in the underground space, as well as effective construction management and project control. The research aims to address critical engineering and management proble...

Abstract Ansys software is used to simulate the welding process of boring bar new cylinder head machine. The indirect coupling method analyze temperature field, then stress field and deformation. It found that for double support structure, highest occurs at outer stiffened plate small diameter end, lowest both ends inner structure. deformation whole structure mainly comes from axial deformation...

Rock mass conditions are extremely sensitive to tunnel boring machine (TBM) tunneling. Therefore, establishing a surrounding rock excavatability (SRE) classification system applicable TBM tunnels. Accurately and intelligently identifying grades can also facilitate efficient tunneling intelligent construction. Specific excavation penetration rates were used evaluate SRE. Their correlations with ...

Autonomous localization and operation of tunnel boring machines in perceptually degraded roadways is essential for intelligent upgrading tunneling. Tunneling robots are far less than anticipated owing to the darkness, dust, vibration, geometrically roadways. We presented a multi-engine state estimation method mapping localizing (TBM-MSE). TBM-MSE designed novel inertial enhancement model that m...

The advance rate (AR) of a tunnel boring machine (TBM) under hard rock conditions is key parameter in the successful implementation tunneling engineering. In this study, we improved accuracy prediction models by employing hybrid model extreme gradient boosting (XGBoost) with Bayesian optimization (BO) to TBM AR. To develop proposed models, 1286 sets data were collected from Peng Selangor Raw Wa...